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. 2018 Feb;10(2):835–844. doi: 10.21037/jtd.2018.01.14

Table 3. Single-factor analysis for underground miners in RP.

Variables Underground miner (n=612) t P
n M SD
Age (year) 1.031 0.303
   <40 222 72.95 36.55
   ≥40 390 69.70 37.95
Smoking 0.524 0.600
   No 236 71.88 36.29
   Yes 376 70.25 38.19
Drinking 1.437 0.152
    No (including seldom drink) 457 69.66 38.08
    Yes 155 74.48 35.41
Education level 0.248 0.804
   Junior school and blow 317 71.24 37.37
   High school and above 295 70.49 37.61
Average monthly income (RMB) 0.195 0.846
   ≤2,000 246 71.24 37.51
   >2,000 366 70.64 37.47
Marital status 0.825 0.439
   Unmarried 28 62.50 38.19
   Married 566 71.16 37.35
   Divorced (widowed) 18 75.00 40.22
Place of residence 0.908 0.364
   Town 323 72.18 37.49
   Rural 289 69.42 37.43
Chronic disease 1.252 0.211
   No 547 71.53 37.32
   Yes 65 65.38 38.45
Medical insurance 0.323 0.747
   Good 436 71.19 37.64
   Bad 176 70.11 37.09
BMI (kg/m2)a 1.786 0.169
   <18.5 81 67.83 37.12
   18.5–25 460 70.25 37.90
   ≥25 71 78.44 34.42
Job tenure for dust exposure (year)b 2.368 0.070
   ≥0 to <10 234 73.18 35.79
   ≥10 to <20 166 74.48 35.41
   ≥20 to <30 168 66.22 40.87
   ≥30 44 62.82 38.25

a,b, one-ANOVA test was used. RP, physical health problems; BMI, body mass index; M, means; SD, standard deviation.